Lin, Yingxin

scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning

Lin, Y., Wu, T.-Y., Wan, S., Yang, J. Y. H., Wong, W. H., & Wang, Y. X. R. (2022) · Nature Biotechnology

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 166

Impact of similarity metrics on single-cell RNA-seq data clustering

Kim, T., Chen, I. R., Lin, Y., Wang, A. Y.-Y., Yang, J. Y. H., & Yang, P. (2019) · Briefings in Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 138

Evaluating stably expressed genes in single cells

Lin, Y., Ghazanfar, S., Strbenac, D., Wang, A., Patrick, E., Lin, D. M., Speed, T., Yang, J. Y. H., & Yang, P. (2019) · GigaScience

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 84

scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links

Wang, G., Zhao, J., Lin, Y., Liu, T., Zhao, Y., & Zhao, H. (2025) · Nature Communications

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 29

scMODAL: A general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links

Wang, G., Zhao, J., Lin, Y., Liu, T., Zhao, Y., & Zhao, H. (2024) · Nature Communications

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 28